def test_ashraeiam_scalar():
thetas = -45.
iam = pvsystem.ashraeiam(thetas, .05)
expected = 0.97928932
assert_allclose(iam, expected, equal_nan=True)
thetas = np.nan
iam = pvsystem.ashraeiam(thetas, .05)
expected = np.nan
assert_allclose(iam, expected, equal_nan=True)
def test_ashraeiam():
thetas = np.linspace(-90, 90, 9)
iam = pvsystem.ashraeiam(.05, thetas)
expected = np.array([
nan, 0.9193437, 0.97928932, 0.99588039, 1., 0.99588039, 0.97928932,
0.9193437, nan
])
assert np.isclose(iam, expected, equal_nan=True).all()
def test_ashraeiam():
thetas = np.array(
[-90., -67.5, -45., -22.5, 0., 22.5, 45., 67.5, 89., 90., np.nan])
iam = pvsystem.ashraeiam(thetas, .05)
expected = np.array([
0, 0.9193437, 0.97928932, 0.99588039, 1., 0.99588039, 0.97928932,
0.9193437, 0, 0, np.nan
])
assert_allclose(iam, expected, equal_nan=True)
def test_ashraeiam():
thetas = pd.Series(np.linspace(-180,180,361))
iam = pvsystem.ashraeiam(.05, thetas)
def test_ashraeiam():
thetas = np.linspace(-90, 90, 9)
iam = pvsystem.ashraeiam(.05, thetas)
expected = np.array([ nan, 0.9193437 , 0.97928932, 0.99588039, 1. ,
0.99588039, 0.97928932, 0.9193437 , nan])
assert np.isclose(iam, expected, equal_nan=True).all()
def test_ashraeiam():
thetas = np.array([-90. , -67.5, -45. , -22.5, 0. , 22.5, 45. , 67.5, 89., 90. , np.nan])
iam = pvsystem.ashraeiam(thetas, .05)
expected = np.array([ 0, 0.9193437 , 0.97928932, 0.99588039, 1. ,
0.99588039, 0.97928932, 0.9193437 , 0, 0, np.nan])
assert_allclose(iam, expected, equal_nan=True)
def test_proper(): IAM=ashraeiam(.05,pd.DataFrame(list(range(90))) ) assert(np.size(IAM)==90)